{"id":"W3017519019","doi":"10.1126/science.abc1731","title":"Against pandemic research exceptionalism","year":2020,"lang":"en","type":"article","venue":"Science","topic":"Health and Medical Research Impacts","field":"Medicine","cited_by":387,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Ethica (Canada)","funders":"","keywords":"Excuse; Exceptionalism; Pandemic; Political science; Coronavirus disease 2019 (COVID-19); Law and economics; Law; Economics; Medicine; Politics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.07699902,0.001300593,0.00202532,0.002843363,0.01001399,0.01668759,0.004082851,0.03501885,0.01938058],"category_scores_gemma":[0.1855183,0.000806036,0.001527874,0.001294746,0.04154302,0.02083754,0.01918397,0.05857905,0.005251705],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005755873,"about_ca_system_score_gemma":0.02033106,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003396983,"about_ca_topic_score_gemma":0.003300012,"domain_scores_codex":[0.9526835,0.01789543,0.002055803,0.005780003,0.01571061,0.005874581],"domain_scores_gemma":[0.8765048,0.05099567,0.01090843,0.01734918,0.02020182,0.02404025],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001669147,0.0000982912,0.001058593,0.0002217072,0.0001430783,0.0002692956,0.001606819,0.0004169329,0.0006124587,0.5506428,0.4151682,0.0295949],"study_design_scores_gemma":[0.0001400154,0.0001110923,0.001104885,0.0006942822,0.00005022172,0.0001889832,0.001948055,0.0003599256,0.0005407965,0.5296626,0.4651042,0.00009490933],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.002381995,0.003212135,0.002714606,0.9290825,0.01344478,0.00002779854,0.00008322127,0.0002231824,0.04882974],"genre_scores_gemma":[0.08282971,0.001764609,0.00312384,0.8886196,0.009968328,0.0001512132,0.00008373881,0.0002098502,0.01324912],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.923001,"threshold_uncertainty_score":0.4072146,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6940332533045477,"score_gpt":0.6019475752651493,"score_spread":0.09208567803939838,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}